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作 者:毛颖[1] 周源远[1] 王继成[1] 张福炎[1]
机构地区:[1]南京大学计算机科学与技术系,南京210093
出 处:《计算机科学》2003年第8期10-12,23,共4页Computer Science
基 金:国家自然科学基金(编号:60073030); 国家八六三项目(编号:2001AA114040)
摘 要:As the rapidly growing information on Web, information filtering techniques have been more and morewidely used. This paper introduces two main filtering methods ,named content-based and collaborative filtering; con-trastively describes the key techniques in information filtering,including the representation,creation and rebuilding ofuser profile ,and similarity computing.As the rapidly growing information on Web, information filtering techniques have been more and more widely used. This paper introduces two main filtering methods,named content.based and collaborative filtering; con-trastively describes the key techniques in information filtering tincluding the representation .creation and rebuilding of user profile,and similarity computing.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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